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GSQ-RCO GGUF collection

All digests tagged GSQ-RCO GGUF collection

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GSQ-RCO: Better Non-Uniform GGUF Quantization Oct 14, 2026 · 57:20 GSQ and RCO are complementary methods for accurate low-bit LLM quantization. GSQ uses Gumbel-Softmax sampling for stochastic optimization, while RCO optimizes bit allocation under fixed size budgets, enabling state-of-the-art model compression.

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Lecture 118: GSQ-RCO: Better Non-Uniform GGUF Quantization Oct 16, 2026 · 57:13 GSQ and RCO are complementary methods for accurate low-bit LLM quantization. GSQ uses Gumbel-Softmax sampling for stochastic optimization, while RCO uses Riemannian optimization to allocate precision across a model under a fixed size budget.

GPU MODE

Lecture 118: GSQ-RCO: Better Non-Uniform GGUF Quantization

GSQ and RCO are complementary methods for accurate low-bit LLM quantization. GSQ uses Gumbel-Softmax sampling for stochastic optimization, while RCO uses Riemannian optimization to allocate precision across a model under a fixed size budget.

Read article

GPU MODE

GSQ-RCO: Better Non-Uniform GGUF Quantization

GSQ and RCO are complementary methods for accurate low-bit LLM quantization. GSQ uses Gumbel-Softmax sampling for stochastic optimization, while RCO optimizes bit allocation under fixed size budgets, enabling state-of-the-art model compression.

Read article